Demo Data from EDBT 2026 / reviewers in the wild / expert
Xu Wang 0054
dblp:181/2815-54
· DBLP profile ↗
4ranked-venue papers
3as first author
4since 2021 · last 2024
0000-0002-6393-7955ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 4 · 3 first-author · 4 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
4 papers |
Geometric modeling and processing · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Geometric modeling and processing
subdivision surfaces |
2.1 | 3 | 2024 | A class of new tuned primal subdivision schemes with high-quality limit surface in extraordinary regions · ACM Trans. Graph. 2024 An Unified λ-subdivision Scheme for Quadrilateral Meshes with Optimal Curvature Performance in Extraordinary Regions · ACM Trans. Graph. 2023 An extended tuned subdivision scheme with optimal convergence for isogeometric analysis · Comput. Aided Des. 2023 |
Geometric modeling and processing
parameterization |
0.5 | 1 | 2021 | Smooth Analysis-Suitable Parameterization Based on a Weighted and Modified Liao Functional · Comput. Aided Des. 2021 |
Geometric modeling and processing
isogeometric analysis |
0.3 | 2 | 2023 | An extended tuned subdivision scheme with optimal convergence for isogeometric analysis · Comput. Aided Des. 2023 Smooth Analysis-Suitable Parameterization Based on a Weighted and Modified Liao Functional · Comput. Aided Des. 2021 |
Methods — techniques the papers use, named apart from their topics
smoothing operations · 0.8local refinement · 0.8curvature minimization · 0.8spline representation · 0.7eigenvector optimization · 0.7curvature continuity · 0.7convergence analysis · 0.7weighted liao functional · 0.5modified liao functional · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | A class of new tuned primal subdivision schemes with high-quality limit surface in extraordinary regionsabstractWe propose a unified tuning framework for primal subdivision schemes that are generalizations of odd-degree uniform B-spline surfaces for unstructured quadrilateral meshes of arbitrary topology. The subdivision of the resulting tuned primal subdivision (TPS) schemes is performed through efficient repeated local refinement operations. One level of subdivision of TPS-schemes is decomposed into one step of simple topological splitting plus an additional series of repeated local smoothing operations. The unified tuning framework optimizes subdivision rules for both topological splitting and smoothing operations near extraordinary vertices by minimizing the curvature fluctuation of the second-order characteristic maps of the respective TPS-scheme. To validate the limit surface quality of TPS-schemes in extraordinary regions, a mesh-independent metric is also devised to estimate local curvature variation in addition to highlight lines and direct curvature evaluation. With (p - 1)/2 steps of smoothing operations in each level of subdivision, the respective TPS-scheme is termed as a degree-p scheme that produces global C p -1 limit surfaces everywhere except at a finite number of extraordinary positions where near- G 2 continuity is achieved. The limit surface of TPS-schemes in extraordinary regions also exhibits appealing highlight lines, and the larger the number of smoothing operations applied in each level of subdivision, the better the final limit surface quality. One of the key advantages of the proposed tuning framework for TPS-schemes is that the optimization of relevant subdivision rules is performed by tuning structured operations of topological splitting and repeated smoothing that involve direct neighbors of an extraordinary vertex only without the need of tuning large subdivision stencils. All subdivision operations of TPS-schemes are local, involving one-ring of neighboring vertices only, which is efficient for high-degree surface subdivision and convenient for practical implementation. Numerical examples also validate the superiority of TPS-schemes over other state-of-the-art subdivision methods in terms of both highlight lines and various curvature measures. Xu Wang 0054, Weiyin Ma |
ACM Trans. Graph. | 1 |
| 2023 | An extended tuned subdivision scheme with optimal convergence for isogeometric analysis
Xu Wang 0054, Weiyin Ma |
Comput. Aided Des. | 1 |
| 2023 | An Unified λ-subdivision Scheme for Quadrilateral Meshes with Optimal Curvature Performance in Extraordinary RegionsabstractWe propose an unified λ -subdivision scheme with a continuous family of tuned subdivisions for quadrilateral meshes. Main subdivision stencil parameters of the unified scheme are represented as spline functions of the subdominant eigenvalue λ of respective subdivision matrices and the λ value can be selected within a wide range to produce desired properties of refined meshes and limit surfaces with optimal curvature performance in extraordinary regions. Spline representations of stencil parameters are constructed based on discrete optimized stencil coefficients obtained by a general tuning framework that optimizes eigenvectors of subdivision matrices towards curvature continuity conditions. To further improve the quality of limit surfaces, a weighting function is devised to penalize sign changes of Gauss curvatures on respective second order characteristic maps. By selecting an appropriate λ , the resulting unified subdivision scheme produces anticipated properties towards different target applications, including nice properties of several other existing tuned subdivision schemes. Comparison results also validate the advantage of the proposed scheme with higher quality surfaces for subdivision at lower λ values, a challenging task for other related tuned subdivision schemes. Weiyin Ma, Xu Wang 0054, Yue Ma 0017 |
ACM Trans. Graph. | 2 |
| 2021 | Smooth Analysis-Suitable Parameterization Based on a Weighted and Modified Liao Functional
Xu Wang 0054, Weiyin Ma |
Comput. Aided Des. | 1 |